Triple

T5480629
Position Surface form Disambiguated ID Type / Status
Subject MGCF E123457 entity
Predicate usedIn P98 FINISHED
Object LTE networks E23868 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: LTE networks | Statement: [MGCF, usedIn, LTE networks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LTE networks
Context triple: [MGCF, usedIn, LTE networks]
  • A. LTE chosen
    LTE (Long Term Evolution) is a high-speed wireless communication standard for mobile devices and data terminals, widely used as the foundation of 4G cellular networks.
  • B. Mobile Networks
    Mobile Networks is a Nokia business segment focused on providing mobile telecommunications infrastructure, technologies, and services for wireless network operators.
  • C. LTE-Advanced
    LTE-Advanced is an enhanced 4G mobile communication standard that significantly improves data rates, capacity, and network efficiency over earlier LTE systems.
  • D. E-UTRAN
    E-UTRAN is the LTE mobile network’s air-interface subsystem that connects user devices to the core network via evolved base stations (eNodeBs).
  • E. LTE-M
    LTE-M is a low-power wide-area cellular technology based on LTE, designed specifically for connecting Internet of Things (IoT) devices with extended coverage and reduced power consumption.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd924a2eb08190b759b23a6eab5e0a completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48a2880c8190ad76cf8c3862aede completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:09 p.m.